Published: 12 February 2024
Data and analytics leaders must assess the potential benefits and cost of new generative AI investments. Experimentation can be done inexpensively for most use cases, but this research provides a decision framework for assessing cost and realizing value from enterprise generative AI initiatives.
Organizations demonstrating early business value from generative AI (GenAI) are building a portfolio of use cases focused on defending their competitive position with incremental improvements, extending current processes for differentiation or upending their industries, core process and business models, but the vast majority of Gartner client-reported GenAI investments currently fall into the “defend” and “extend” categories.
Productivity gains are the dominant initial benefits reported by early adopters. Most outcomes from productivity impact leading indicators of future value as opposed to direct financial benefit (such as immediate cost reduction). This requires a higher tolerance for indirect, future financial results versus
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Analysts:
Rita Sallam, Bern Elliot, Graham Waller, Matt Cain, Andrew Frank, James Plath, Adnan Zijadic, Pri Rathnayake, Nate Suda
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